README.md

Streamlit MCP RAG Agent example

This Streamlit example shows a RAG Agent that is able to augment its responses using data from Qdrant vector database.

Download latest Qdrant image from Dockerhub:

docker pull qdrant/qdrant

Then, run the Qdrant server locally with docker:

docker run -p 6333:6333 -v $(pwd)/qdrant_storage:/qdrant/storage qdrant/qdrant

Finally, run the example:

uv pip install -r requirements.txt
uv run streamlit run main.py